NEFCON-I (NEural Fuzzy CONtroller) is an X11 simulation environment
based on Interviews designed to build and test neural fuzzy
controllers. NEFCON-I is able to learn fuzzy sets and fuzzy rules by
using a kind of reinforcement learning that is driven by a fuzzy error
measure. To do this NEFCON-I communicates with another process, that
implements a simulation of a dynamical process. NEFCON-I can optimize
the fuzzy sets of the antecedents and the conclusions of a given rule
base, and it can also create a rulebase from scratch.